Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines.
iScience, 2022/3/18;25(3):103857.
Wang S[1, 2], Xie J[3, 2], Zou X[1, 2], Pan T[2], Yu Q[1, 2], Zhuang Z[3, 2], Zhong Y[2], Zhao X[1, 2], Wang Z[1, 2], Li R[2], Lei Y[2], Yin J[2], Yuan Y[1, 2], Wei X[1, 2], Liu L[2], Liu S[2], Yang H[1, 2, 4], Wu L[1, 2]
Affiliations
PMID: 35198910DOI: 10.1016/j.isci.2022.103857
Impact factor: 6.107
Abstract
Hepatocellular carcinoma (HCC) is the most common liver cancer with a high rate of metastasis. However, the molecular mechanisms that drive metastasis remain unclear. We combined single-cell transcriptomic, proteomic, and chromatin accessibility data to investigate how heterogeneous phenotypes contribute to metastatic potential in five HCC cell lines. We confirmed that the prevalence of a mesenchymal state and levels of cell proliferation are linked to the metastatic potential. We also identified a rare hypoxic subtype that has a higher capacity for glycolysis and exhibits dormant, invasive, and malignant characteristics. This subtype has increased metastatic potential. We further identified a robust 14-gene panel representing this hypoxia signature and this hypoxia signature could serve as a prognostic index. Our data provide a valuable data resource, facilitate a deeper understanding of metastatic mechanisms, and may help diagnosis of metastatic potential in individual patients, thus supporting personalized medicine.
Keywords: Cell biology; Omics; Transcriptomics
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